chrisladroue.com

Christophe Ladroue

Currently senior statistical software programmer at Quantics, UK. My research focused on the application of mathematics and computer science to probability and biological questions. I have specifically worked on NMR spectroscopy. Data for my PhD, developing techniques for automatically classifying. Brain tumour spectra or data-mining this type of data. More recently, I have been working on the reverse-engineering of networks. Mostly based on time-series. Information. This ranges from gene expression.

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Christophe Ladroue | chrisladroue.com Reviews

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Currently senior statistical software programmer at Quantics, UK. My research focused on the application of mathematics and computer science to probability and biological questions. I have specifically worked on NMR spectroscopy. Data for my PhD, developing techniques for automatically classifying. Brain tumour spectra or data-mining this type of data. More recently, I have been working on the reverse-engineering of networks. Mostly based on time-series. Information. This ranges from gene expression.

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2 previously in academia

3 to proteins

4 and neurophysiology

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Christophe Ladroue | chrisladroue.com Reviews

https://chrisladroue.com

Currently senior statistical software programmer at Quantics, UK. My research focused on the application of mathematics and computer science to probability and biological questions. I have specifically worked on NMR spectroscopy. Data for my PhD, developing techniques for automatically classifying. Brain tumour spectra or data-mining this type of data. More recently, I have been working on the reverse-engineering of networks. Mostly based on time-series. Information. This ranges from gene expression.

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chrisladroue.com

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A two-hour online course on ggplot2 and Shiny | Christophe Ladroue

http://chrisladroue.com/2014/06/a-two-hour-online-course-on-ggplot2-and-shiny

Brownian Motion and Iterated Integrals on Mathematica. Granger Causality for large networks. Matlab script for parsing Agilent output (microarrays). Astronomy Picture of the Day. A very quick introduction to ggplot2. Win a free copy of a new video course on ggplot2 and Shiny! A two-hour online course on ggplot2 and Shiny. June 11, 2014. I’ve just published a video course. With Packt Publishing about ggplot2. In just two hours, you’ll get to learn the popular R packages ggplot2. If you’ve been meani...

2

bashPodder | Christophe Ladroue

http://chrisladroue.com/scripting/bashpodder

Brownian Motion and Iterated Integrals on Mathematica. Granger Causality for large networks. Matlab script for parsing Agilent output (microarrays). Astronomy Picture of the Day. Is an excellent script which will go and fetch your podcasts without any extraneous annoying graphical interface or anything. It only does that and does it well. Find the latest script at http:/ linc.homeunix.org:8080/scripts/bashpodder. Last revision 07/01/2005 - Many Contributers! Files are saved away from script, in $dest.

3

Granger Causality for large networks | Christophe Ladroue

http://chrisladroue.com/software/granger

Brownian Motion and Iterated Integrals on Mathematica. Granger Causality for large networks. Matlab script for parsing Agilent output (microarrays). Astronomy Picture of the Day. Granger Causality for large networks. Code for uncovering large networks of dependency between time series. It is an iterative procedure based on Granger Causality that can be very easily parallelized. It is currently being ported to. To zoom in and out of this image. Another take on building a multi-lingual shiny app.

4

Bing.py | Christophe Ladroue

http://chrisladroue.com/scripting/bing-py

Brownian Motion and Iterated Integrals on Mathematica. Granger Causality for large networks. Matlab script for parsing Agilent output (microarrays). Astronomy Picture of the Day. I don’t know if Bing. Is a good search engine, but it sure has beautiful background pictures. This script downloads the current image, which changes daily. I moved the code to github: https:/ github.com/chrislad/ImageScrappers. Another take on building a multi-lingual shiny app. A two-hour online course on ggplot2 and Shiny.

5

Publications | Christophe Ladroue

http://chrisladroue.com/publications

Brownian Motion and Iterated Integrals on Mathematica. Granger Causality for large networks. Matlab script for parsing Agilent output (microarrays). Astronomy Picture of the Day. ISI Citation report: h-index = 9 (Average citations per item: 20.18). IF = Impact Factor. Here’s an interesting read. About impact factors.). Comparative Lipidomic Profiling Of Human Atheroscleric Plaques. Can Localised 19F magnetic resonance spectroscopy pharmacokinetics of 5FU in colorectal metastases predict clinical response?

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@snim2 | the blog of Sarah Mount | Page 2

https://snim2.wordpress.com/page/2

The blog of Sarah Mount. Newer posts →. Scala – just good for Java shops? July 1, 2014. Scala talk given at the inaugural Thames Valley Functional Programming Meet-Up. Scala – just good for Java shops? September 21, 2013. Automate, automate, automate. September 4, 2013. I’ve recently been working on a new Python project, which started off as a bit of an experiment at the recent PyPy London Sprint. In this case, the infrastructure for the project is pretty involved. I was using the pytest. The problem is ...

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yaRb | Mark van der Loo

http://www.markvanderloo.eu/yarb

Mark van der Loo. Validate version 0.1.5 is out. June 24, 2016. A new version of the validate. Package for data validation was just accepted on CRAN and will be available on all mirrors in a few days. The most important addition is that you can now reference the data set as a whole, using the "dot" syntax like so:. Also, it is now possible to return a logical, even when the result is NA, by passing the. I will be talking. About this package at the upcoming useR! Event, so join me if you're interested!

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Currently senior statistical software programmer at Quantics, UK. My research focused on the application of mathematics and computer science to probability and biological questions. I have specifically worked on NMR spectroscopy. Data for my PhD, developing techniques for automatically classifying. Brain tumour spectra or data-mining this type of data. More recently, I have been working on the reverse-engineering of networks. Mostly based on time-series. Information. This ranges from gene expression.

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